This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists.
€69.54
表中的内容
Why this Book?.- Data, Variables, and Their Sources.- Methodology.- Predicting Economic Growth: A First Look.- Predicting Economic Growth: Which Variables Matter?.- Predicting Recessions: What We Learn from Widening the Goalposts.- Epilogue.
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语言 英语 ● 格式 PDF ● 网页 94 ● ISBN 9783319690148 ● 文件大小 2.1 MB ● 出版者 Springer International Publishing ● 市 Cham ● 国家 CH ● 发布时间 2017 ● 下载 24 个月 ● 货币 EUR ● ID 5578096 ● 复制保护 社会DRM
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